AI Jobs

Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Education Requirements:

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field.

Experience Requirements:

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment.

Responsibilities:

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy.

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model

Education Requirements:

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field, or equivalent work experience.

Responsibilities:

• Lead the design, development, and implementation of machine learning models, AI algorithms, and Large Language Models (LLMs) for various business applications.

• Collaborate with cross-functional teams (product, engineering, business) to understand the problem domain and define model objectives.

• Analyze large datasets to identify patterns, trends, and insights, and use these findings to develop predictive models and actionable business solutions.

• Build, test, and refine machine learning models using state-of-the-art techniques, including supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing (NLP).

• Develop and optimize LLMs (e.g., GPT, BERT, etc.) to improve language understanding, text generation, and other NLP applications.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Experience Requirements:

• 5+ years of hands-on experience in machine learning, with a focus on anomaly detection.

Responsibilities:

• Develop and implement machine learning models focused on anomaly detection in industrial IoT data.

• Design algorithms for predictive maintenance and condition monitoring.

• Work closely with data engineers to create robust data pipelines for real-time analytics.

• Analyze large datasets, extract insights, and provide actionable recommendations.

• Optimize models to improve detection accuracy and reduce false positives.

Experience Requirements:

• over 15 years of experience

Responsibilities:

• Lead the design and architecture of complex Oracle solutions, including Oracle ERP, Oracle Cloud, Oracle E-Business Suite, and other Oracle applications.

• Develop comprehensive solution architectures that address business requirements, ensuring scalability, reliability, and security.

• Collaborate with business stakeholders to understand their needs and translate them into effective Oracle solutions.

• Oversee the delivery of large-scale Oracle implementation projects, managing all aspects of the project lifecycle from initiation to closure.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-3 years of industry experience developing ETL (Data processing pipeline) to integrate large volumes of data from various sources with a variety of database technologies.

• Experience setting up and managing large data pipelines

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Work within the Data Science team to implement various data pipelines for our end-to-end solutions.

• Provide active input into the design of our data product offerings portfolio and our data dissemination framework.

• Integrate the right tools and methods for data enhancement, data quality, data obfuscation, privacy measurement and enhancement.

• Implement data security and access controls throughout the data pipeline.

• Develop actionable tools for monitoring the health of implemented pipelines and identify and fix issues in real-time.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

• Hands-on experience in delivering production-ready code (Python, Java, etc.)

• Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)

• AI/ML models, Natural language process (NLP) and data mining experience

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Process, cleanse, and verify the integrity of data used for downstream analytics products

• Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

• Participate in strategic planning and be responsible for the team roadmap and its execution.

Education Requirements:

• BS in CS or Engineering

Experience Requirements:

• 5 years using BI / Analytics solutions

• 4 years in RDBMS and big data tech like Hadoop

• 3 years in Java and Advanced Analytics like Scala/SPSS

• Previous work in industrial IOT and manufacturing

Experience Requirements:

• least 3-5 years of experience in Data Engineering

Experience Requirements:

• least 5-7 years of experience as a Senior Data Scientist

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Experience Requirements:

• 15+ years of experience in solution engineering, technical sales, or pre-sales engineering, with at least 5 years in a leadership role.

• Deep expertise in healthcare IT and data interoperability and cloud-based AI/ML solutions.

Responsibilities:

• Own the pre-sales technical process, ensuring clear alignment between customer needs and the capabilities of our NLP platform.

• Define the pilot framework, including success metrics, implementation roadmaps, and integration requirements.

• Establish a solution engineering foundation of customer credibility and the structure and processes that will enable you to build a team capable of delivering world-class technical support to customers.

• Ensure customers can successfully integrate and scale our NLP technology within their environments.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Extensive experience building and deploying Machine Learning models to production

• Experience managing and developing high performing teams of data scientists and ML engineers

Responsibilities:

• Understanding core problems faced by our Payments & Lending team and leading the team to overcome them - this could include understanding user’s solvency, customer segmentation, retention, payment processing and more

• Finding opportunities for model and product improvements in Cleo's extensive datasets of transactions, bank balances, and customer behaviour.

• Impacting Cleo’s bottom line through improving our lending eligibility and decisioning systems

• You’ll be responsible for people management of the data scientists & ML engineers in your squads, coaching and developing them to deliver on the roadmap.

• You’ll build out the headcount plan and will be responsible for all hiring and team development within your area to support our growth.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Responsibilities:

• People management:

• Technical leadership:

• Delivery ownership:

• Team development:

• Hiring and growth:

Benefits:

• A competitive compensation package (£110,000 + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Factory life and client hands

• Teamwork

• Structured Data understanding

• Basic SQL understanding

• Initiative to locate data sources

Other Requirements:

• Work with 3rd parties

• Data gathering / organizing / ingestion

• Data gathering automation

• Good Analytical Skills

• Data tools

• ChatGPT prompting

• Technical Support

• Data Quality Management

• Use of Enterprise Tools

Responsibilities:

• Understand client operations

• Client stakeholder mapping and management

• Product deployment planning

• Structured Data sourcing, ingestion, validation, testing for our RealTime Factory OEE product

• Structured Data sourcing for Allie ML

Benefits:

• 4 different medical benefit plan options

• Dental, Vision, FSA, and HSA plans

• 4% 401k company match

• Personal financial advisor and basic free legal guidance

• $5,000 annual continuing education budget

Experience Requirements:

• 10+ years as a software engineer or equivalent role

• 5+ years of experience managing people

Other Requirements:

• Proven experience in supporting, coaching, and empowering engineering teams, with a focus on inclusive practices that foster belonging and respect

• Project management skills, balancing multiple projects and team goals with an inclusive, team-oriented approach

• Skilled in communicating effectively with diverse stakeholders, translating technical updates into accessible, clear information

• Commitment to fostering engagement, continuous improvement, and agility within the team

• Ability to think strategically, recognize challenges early, and co-create effective solutions with the team

Responsibilities:

• Team Leadership & Growth: Coach, mentor, and support a high-performing engineering team, fostering an environment where everyone feels empowered to grow and contribute.

• Technical Guidance & Architecture: Oversee technology migrations and guide architectural direction, emphasizing simplicity, scalability, and alignment with long-term goals.

• Collaboration & External Communication: Serve as a primary point of contact for stakeholders, ensuring clear and open communication about technical progress and outcomes.

• Driving Engagement & Continuous Improvement: Create a culture of engagement, agility, and continuous learning, helping team members adopt best practices that enhance team productivity and efficiency.

• Project Management: Manage project timelines, resources, and deliverables, coordinating effectively to deliver timely high-quality solutions.

Experience Requirements:

• 8+ years of experience in data analysis

Other Requirements:

• Proactive, entrepreneurial, and collaborative

• Strong familiarity with tools like Adobe Analytics/Omniture, Mixpanel, Heap, Amplitude, Google Analytics 360, GA4, Google Search Console, Billing systems, etc.

• Experience with database analysis (SQL, R, Python, BigQuery, Snowflake, Airflow, etc.)

• Clear understanding of statistics, predictive analytics, and machine learning

• Experience in business analytics

Responsibilities:

• Work with clients to understand pain points and translate them into requirements for queries and models

• Design tables and views providing ongoing data in useful formats

• Identify key insights not being tracked and predicted in software

• Assist Dev and QA in ensuring accuracy and understandability of client deliverables

• Collaborate with design and development team to make adjustments to models, presentation layers, and queries

Experience Requirements:

• 5+ years of experience working with data warehouse/lakes

Other Requirements:

• Proactive, entrepreneurial, and collaborative

• Solid time management skills

• Experience as a DBA or Sr Data Engineer (Snowflake, BigQuery, Databricks, Redshift, AWS, etc.)

• Understanding of business practicalities of user roles, permissions, multi-tenancy

• Excellent communication skills

• Sense of humor

Responsibilities:

• Work with clients to understand pain points and translate them into requirements for data structure, schemas, tables, and views

• Identify appropriate pipeline flow and work with data engineers to source, transform, and send data to destinations

• Understand and identify key user types and their specific business needs

• Assist Dev and QA and analysts in ensuring accuracy and understandability of client deliverables

• Collaborate with data science and development team to make adjustments to models, presentation layers, and queries

Experience Requirements:

• At least 4 years of experience working as a SQL Developer or similar role

Other Requirements:

• Experience querying NoSQL databases

• Comfortable with orchestration concepts (dbt or Airflow, Kubernetes, Docker)

• Familiarity with data analytics and reporting from a business standpoint

• Self-motivated with solid time management skills

• Team player

• Excellent communication skills (English)

• Sense of humor

Responsibilities:

• Development of high-quality database solutions for loading, storing, and moving data

• Develop, implement, and optimize stored procedures and queries

• Develop and maintain cloud pipelines

• Review and interpret business requirements for reporting

• Research data sources and field values

Benefits:

• A dynamic and collaborative work environment that fosters innovation and personal growth

• Opportunity to work with cutting-edge technologies and contribute to the advancement of data analytics.

• Competitive salary and comprehensive benefits package.

• A supportive and inclusive company culture that values diversity and promotes work-life balance

Education Requirements:

• BSc in Computer Science or equivalent

Experience Requirements:

• Over 10 years of experience in software development, with expertise in designing and building scalable systems with Cloud Architecture in a SaaS company

• At least 2 years of experience as an R&D group manager or as an R&D director.

• In-depth knowledge of large-scale systems, capable of leading technical aspects, complex projects, and distributed teams (experience working with offshore teams is a must).

• At least 3 years experience in Python and Relational DBs (Postgres, MSSQL)

• Experience with test automation best practicesProven track record of driving projects to completion using agile methodologies and CI/CD practicesExceptional communication skills and high proficiency in English

Responsibilities:

• You will oversee an engineering division of 3-4 teams responsible for developing our core product.

• You will define the group strategy and methodologies to optimize the work process and efficiency of the entire tech cycle .

• You will collaborate with stakeholders, possess strong technical skills, initiate and drive processes, manage projects within time constraints, and keep our team members motivated and engaged.

• You will be responsible for the performance of the group, including planning, execution, quality, and setting the group goals, objectives, and KPIs

• You will be responsible for the professional growth of the group membersYou will recruit new group members